SIVOCS

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# SIVOCS

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## B1: How familiar are you with the concept of “social innovation”

**H**: The familiarity with the concept of SI depends on the field of research.

---
# B1 (NEW): Kruskal-Wallis test: SI familiarity depends on sci. domains?

```
## 
## 	Bartlett test of homogeneity of variances
## 
## data:  familiarWithSI.response. by domain
## Bartlett's K-squared = 12.931, df = 2, p-value = 0.001556
```

```
## 
## 	Kruskal-Wallis rank sum test
## 
## data:  familiarWithSI.response. by domain
## Kruskal-Wallis chi-squared = 45.694, df = 2, p-value = 1.196e-10
```

* Mean ranks of the groups are not the same, SI fam. depends on domain

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# Pairwise Wilcoxon

```
## 
## 	Pairwise comparisons using Wilcoxon rank sum test with continuity correction 
## 
## data:  data$familiarWithSI.response. and data$domain 
## 
##                                Biology and Medicine
## Humanities and Social Sciences 2.0e-09             
## Math., Natur. and Eng. Sci.    1                   
##                                Humanities and Social Sciences
## Humanities and Social Sciences -                             
## Math., Natur. and Eng. Sci.    2.8e-07                       
## 
## P value adjustment method: bonferroni
```

---

# B1: *Familiarity with SI* across scientific domains

* *Familiarity with SI* differs across scientific domains (Kruskal-Wallis p-value < 0.05)
* *Biology and Medicine* and *Math., Natur, and Eng. Sci.* are **not** stat. significantly different (pairwise Wilcoxon p-value > 0.05)

* *Humanities and Social Sciences* are significantly different than the others (pairwise t-test with each: p < 0.05)

---
class:clear
##  H:  Generating deeper/better understanding of a specific social issue depends on (the level of) transdisciplinary involvement of citizens

```
## 
## 	Shapiro-Wilk normality test
## 
## data: data.questions$Impactstatements.understanding.
## W = 0.55565, p-value < 2.2e-16
```

```
## 
## 	Shapiro-Wilk normality test
## 
## data: data.questions$groupsInvolved.citiz.
## W = 0.5649, p-value < 2.2e-16
```

---

```
## 
## 	Kruskal-Wallis rank sum test
## 
## data:  Impactstatements.understanding. by groupsInvolved.citiz.
## Kruskal-Wallis chi-squared = 8.2846, df = 2, p-value = 0.01589
```
* Different involvement levels make difference.

---

```
## 
## 	Spearman's rank correlation rho
## 
## data:  data.questions$Impactstatements.understanding. and data.questions$groupsInvolved.citiz.
## S = 5945746, p-value = 0.0041
## alternative hypothesis: true rho is not equal to 0
## sample estimates:
##       rho 
## 0.1535068
```

---

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---

# D1: Motivation Types

## H: Motivation Types depend on sci. domains

---
###### Phenomenon

.pull-left[
<img src="data:image/png;base64,#7780_int_meeting_files/figure-html/unnamed-chunk-10-1.svg" width="1152" />
]

.pull-right[

```
## 
## 	Shapiro-Wilk normality test
## 
## data: data.questions$motivation.pheno.
## W = 0.65462, p-value < 2.2e-16
```

```
## 
## 	Kruskal-Wallis rank sum test
## 
## data:  motivation.pheno. by domain
## Kruskal-Wallis chi-squared = 0.037102, df = 2, p-value = 0.9816
```
* No stat. sig. difference between domains

]

---

# Dim. Red.: PCA

```
## [1] 0
```

---
# Dim. Red.: PCA

---
# Dim. Red.: PCA, imp. features in PC1

```
##        groupsInvolved.citiz.   targetGroupsGoals.empower. 
##                    0.2332093                    0.2319459 
##   impactTargetGroup.welfare.     impactTargetGroup.socgr. 
##                    0.2288645                    0.2283431 
##         dissChannels.events.       impactTargetGroup.pub. 
##                    0.2203846                    0.2054193 
##         benefitForNonAcademy targetGroupsGoals.diversity. 
##                    0.1970605                    0.1938333 
##            contribToSI.rate.        groupsInvolved.media. 
##                    0.1887885                    0.1885870
```

---
# Dim. Red.: Factor Analysis

```
## Parallel analysis suggests that the number of factors =  10  and the number of components =  NA
```

---
# Dim. Red.: FActor Analysis

```
## Factor Analysis using method = minres
## Call: fa(r = data.num_questions, nfactors = 10, rotate = "oblimin", 
## fm = "minres")
## Standardized loadings (pattern matrix) based upon correlation matrix
## MR2 MR1 MR7 MR3 MR6 MR9 MR5 MR4
## transdisciplinaryExp.rate. -0.07 0.27 0.45 -0.05 -0.26 0.24 -0.01 0.13
## familiarWithSI.response. -0.01 0.29 0.37 -0.14 0.12 0.02 -0.14 0.05
## contribToSI.rate. 0.02 0.04 0.00 -0.03 0.10 0.89 0.01 -0.05
## motivation.pheno. 0.00 0.08 -0.02 0.05 0.03 0.04 0.04 0.23
## motivation.prob. -0.04 -0.02 0.05 -0.03 0.01 0.10 0.04 -0.13
## motivation.welfare. 0.00 0.17 0.19 -0.02 0.02 0.34 -0.11 -0.54
## benefitForNonAcademy -0.09 0.09 0.29 0.07 0.18 0.29 0.05 -0.38
## groupsInvolved.res. -0.08 0.16 0.35 0.07 -0.16 0.10 -0.06 0.18
## groupsInvolved.busi. -0.05 0.00 0.45 0.06 0.14 -0.18 0.02 -0.15
## groupsInvolved.civsoc. 0.02 0.52 0.09 -0.14 0.35 -0.13 0.00 0.01
## groupsInvolved.policy. -0.09 0.10 -0.11 0.01 0.77 0.01 -0.02 -0.01
## groupsInvolved.citiz. -0.04 0.62 0.18 -0.01 0.08 -0.10 -0.01 0.07
## groupsInvolved.media. 0.04 0.10 0.08 0.25 0.29 0.11 0.02 0.18
## groupsInvolved.welfare. -0.04 0.50 0.02 -0.03 0.14 -0.01 0.09 -0.14
## targetGroupsGoals.socneeds. -0.04 0.55 -0.05 -0.09 0.06 0.05 -0.06 -0.14
## targetGroupsGoals.socgroups. -0.02 0.71 -0.21 0.01 -0.11 0.15 -0.07 0.04
## targetGroupsGoals.improve. 0.14 0.23 0.07 0.00 -0.08 -0.04 -0.18 -0.29
## targetGroupsGoals.empower. 0.06 0.44 0.02 0.05 0.21 0.09 -0.12 0.06
## targetGroupsGoals.diversity. -0.01 0.33 0.06 0.11 0.20 0.02 0.05 0.44
## concepts.pub. -0.03 -0.01 -0.04 0.42 0.00 -0.11 0.08 -0.09
## concepts.data. 0.02 -0.15 -0.03 0.59 -0.02 -0.10 -0.12 0.03
## concepts.code. 0.01 -0.03 0.09 0.47 -0.10 -0.18 -0.02 -0.03
## concepts.infra. 0.05 -0.03 0.10 0.29 0.00 -0.09 0.00 0.06
## concepts.review. 0.01 -0.12 0.24 0.04 0.10 0.04 0.03 0.29
## impactTargetGroup.pub. -0.04 0.02 0.55 0.14 0.06 0.29 -0.02 -0.14
## impactTargetGroup.busi. 0.01 -0.10 0.71 0.07 0.05 -0.12 -0.02 -0.08
## impactTargetGroup.socgr. -0.01 0.65 0.06 0.10 0.07 0.10 -0.02 -0.05
## impactTargetGroup.welfare. 0.00 0.32 0.24 0.00 0.14 0.18 0.14 -0.07
## impactTargetGroup.civsoc. 0.04 0.29 0.18 -0.04 0.32 0.12 -0.13 0.07
## impactTargetGroup.policy. 0.01 -0.07 0.24 -0.08 0.61 0.26 -0.14 0.06
## impactTargetGroup.acad. 0.08 -0.11 0.35 0.09 -0.05 0.12 -0.04 0.26
## adoptByPolicy.rate. 0.55 0.01 0.12 -0.08 0.04 -0.15 0.19 0.04
## Impactstatements.capab. 0.81 -0.04 -0.09 0.06 -0.03 0.05 -0.02 0.01
## Impactstatements.emanc. 0.89 -0.06 0.02 0.01 0.00 -0.02 0.05 -0.02
## Impactstatements.understanding. 0.92 0.03 0.00 0.01 0.00 0.00 -0.01 -0.03
## Impactstatements.mitig. 0.88 0.07 0.04 -0.01 0.00 0.03 0.10 0.03
## Impactstatements.unknown. 0.83 0.01 0.00 -0.04 0.02 -0.01 -0.06 0.01
## Impactstatements.unaddressed. 0.46 0.01 -0.11 -0.03 -0.07 0.28 -0.09 -0.01
## dissChannels.peer. 0.13 -0.06 -0.06 0.13 0.08 -0.04 -0.09 -0.02
## dissChannels.mono. -0.10 0.14 -0.02 -0.04 0.09 0.28 0.09 0.38
## dissChannels.conf. 0.04 0.14 0.00 -0.01 -0.02 -0.13 -0.11 0.05
## dissChannels.policy. 0.05 0.03 0.01 0.07 0.48 -0.01 -0.09 -0.01
## dissChannels.trad. 0.00 0.01 -0.01 0.46 0.20 0.19 0.00 0.14
## dissChannels.prof. -0.06 0.14 0.05 0.19 0.10 0.33 0.13 0.10
## dissChannels.web. -0.10 0.12 0.02 0.44 -0.04 0.01 0.12 -0.07
## dissChannels.socmed. -0.03 0.01 0.15 0.38 0.05 0.07 0.07 -0.05
## dissChannels.platf. 0.08 0.15 0.06 0.48 -0.09 -0.05 -0.09 0.00
## dissChannels.consult. -0.05 0.14 0.17 0.21 0.03 0.09 -0.06 0.06
## dissChannels.events. -0.08 0.40 0.03 0.15 0.17 0.16 0.11 -0.03
## dissChannels.public. 0.03 0.10 0.06 0.36 0.00 0.23 0.17 0.02
## scalabilityRating.up. -0.08 0.04 0.02 -0.03 0.01 0.06 0.71 0.08
## scalabilityRating.out. 0.12 -0.02 -0.05 -0.02 -0.05 0.04 0.81 -0.01
## scalabilityRating.deep. 0.17 -0.06 0.04 0.04 -0.04 -0.12 0.62 -0.07
## MR10 MR8 h2 u2 com
## transdisciplinaryExp.rate. -0.04 0.02 0.42 0.579 3.3
## familiarWithSI.response. -0.02 0.07 0.40 0.596 3.0
## contribToSI.rate. 0.16 0.02 1.00 -0.002 1.1
## motivation.pheno. 0.65 -0.08 0.49 0.509 1.3
## motivation.prob. 0.76 0.04 0.67 0.327 1.1
## motivation.welfare. 0.12 0.05 0.74 0.257 2.5
## benefitForNonAcademy -0.09 0.04 0.57 0.428 3.9
## groupsInvolved.res. 0.01 0.25 0.33 0.667 4.1
## groupsInvolved.busi. 0.05 0.04 0.29 0.711 1.9
## groupsInvolved.civsoc. 0.02 -0.19 0.54 0.458 2.5
## groupsInvolved.policy. 0.06 0.02 0.67 0.331 1.1
## groupsInvolved.citiz. -0.02 0.09 0.51 0.494 1.3
## groupsInvolved.media. -0.07 0.21 0.36 0.643 4.6
## groupsInvolved.welfare. -0.02 0.22 0.42 0.576 1.8
## targetGroupsGoals.socneeds. -0.02 0.15 0.43 0.569 1.5
## targetGroupsGoals.socgroups. 0.09 0.04 0.56 0.441 1.4
## targetGroupsGoals.improve. 0.12 0.29 0.31 0.686 4.8
## targetGroupsGoals.empower. 0.08 0.05 0.42 0.582 2.0
## targetGroupsGoals.diversity. 0.05 0.01 0.45 0.545 2.6
## concepts.pub. 0.09 0.14 0.22 0.777 1.7
## concepts.data. 0.07 0.08 0.41 0.587 1.4
## concepts.code. -0.03 -0.08 0.28 0.721 1.6
## concepts.infra. 0.00 0.19 0.16 0.842 2.4
## concepts.review. 0.02 0.21 0.20 0.796 3.7
## impactTargetGroup.pub. -0.06 0.06 0.65 0.346 1.9
## impactTargetGroup.busi. 0.11 -0.03 0.53 0.469 1.2
## impactTargetGroup.socgr. 0.00 -0.12 0.58 0.421 1.2
## impactTargetGroup.welfare. -0.09 0.16 0.45 0.551 4.4
## impactTargetGroup.civsoc. -0.01 -0.20 0.47 0.534 4.3
## impactTargetGroup.policy. 0.02 -0.02 0.72 0.285 1.9
## impactTargetGroup.acad. 0.13 0.12 0.25 0.746 3.5
## adoptByPolicy.rate. 0.07 0.00 0.42 0.575 1.6
## Impactstatements.capab. 0.02 0.00 0.69 0.311 1.1
## Impactstatements.emanc. 0.01 0.02 0.85 0.155 1.0
## Impactstatements.understanding. -0.01 0.01 0.83 0.173 1.0
## Impactstatements.mitig. -0.02 -0.01 0.81 0.187 1.0
## Impactstatements.unknown. -0.03 0.00 0.66 0.341 1.0
## Impactstatements.unaddressed. -0.11 -0.12 0.27 0.728 2.3
## dissChannels.peer. 0.03 0.28 0.12 0.883 2.8
## dissChannels.mono. -0.14 0.14 0.35 0.651 3.4
## dissChannels.conf. -0.02 0.41 0.20 0.805 1.7
## dissChannels.policy. 0.01 0.08 0.27 0.734 1.2
## dissChannels.trad. -0.07 0.09 0.36 0.641 2.1
## dissChannels.prof. 0.04 0.19 0.37 0.629 4.0
## dissChannels.web. -0.06 0.00 0.23 0.770 1.6
## dissChannels.socmed. 0.03 -0.16 0.23 0.772 2.0
## dissChannels.platf. 0.04 -0.32 0.34 0.659 2.3
## dissChannels.consult. 0.02 -0.09 0.17 0.830 4.3
## dissChannels.events. 0.01 0.03 0.40 0.598 2.5
## dissChannels.public. -0.15 0.01 0.27 0.731 3.0
## scalabilityRating.up. -0.07 -0.11 0.51 0.490 1.1
## scalabilityRating.out. 0.08 0.06 0.77 0.232 1.1
## scalabilityRating.deep. 0.06 -0.01 0.53 0.472 1.3
## 
## MR2 MR1 MR7 MR3 MR6 MR9 MR5 MR4 MR10 MR8
## SS loadings 4.53 4.00 2.64 2.17 2.53 2.49 2.01 1.38 1.28 1.12
## Proportion Var 0.09 0.08 0.05 0.04 0.05 0.05 0.04 0.03 0.02 0.02
## Cumulative Var 0.09 0.16 0.21 0.25 0.30 0.35 0.38 0.41 0.43 0.46
## Proportion Explained 0.19 0.17 0.11 0.09 0.10 0.10 0.08 0.06 0.05 0.05
## Cumulative Proportion 0.19 0.35 0.46 0.55 0.66 0.76 0.84 0.90 0.95 1.00
## 
## With factor correlations of 
## MR2 MR1 MR7 MR3 MR6 MR9 MR5 MR4 MR10 MR8
## MR2 1.00 -0.12 -0.07 0.02 -0.14 -0.06 0.30 -0.02 0.05 -0.03
## MR1 -0.12 1.00 0.25 0.02 0.39 0.41 -0.09 0.01 0.06 0.12
## MR7 -0.07 0.25 1.00 0.19 0.29 0.29 -0.07 -0.12 0.07 0.14
## MR3 0.02 0.02 0.19 1.00 0.01 0.06 0.01 0.07 0.04 0.09
## MR6 -0.14 0.39 0.29 0.01 1.00 0.32 -0.14 0.03 0.11 0.03
## MR9 -0.06 0.41 0.29 0.06 0.32 1.00 -0.03 -0.09 0.21 0.17
## MR5 0.30 -0.09 -0.07 0.01 -0.14 -0.03 1.00 0.12 0.04 0.00
## MR4 -0.02 0.01 -0.12 0.07 0.03 -0.09 0.12 1.00 -0.11 -0.05
## MR10 0.05 0.06 0.07 0.04 0.11 0.21 0.04 -0.11 1.00 0.05
## MR8 -0.03 0.12 0.14 0.09 0.03 0.17 0.00 -0.05 0.05 1.00
## 
## Mean item complexity = 2.2
## Test of the hypothesis that 10 factors are sufficient.
## 
## The degrees of freedom for the null model are 1378 and the objective function was 46.29 with Chi Square of 15808.71
## The degrees of freedom for the model are 893 and the objective function was 26.19 
## 
## The root mean square of the residuals (RMSR) is 0.03 
## The df corrected root mean square of the residuals is 0.04 
## 
## The harmonic number of observations is 274 with the empirical chi square 911.36 with prob < 0.33 
## The total number of observations was 361 with Likelihood Chi Square = 8770.49 with prob < 0 
## 
## Tucker Lewis Index of factoring reliability = 0.139
## RMSEA index = 0.156 and the 90 % confidence intervals are 0.154 0.16
## BIC = 3511.73
## Fit based upon off diagonal values = 0.97
```

---

```
## lavaan 0.6-9 did NOT end normally after 2822 iterations
## ** WARNING ** Estimates below are most likely unreliable
## 
##   Estimator                                         ML
##   Optimization method                           NLMINB
##   Number of model parameters                       112
##                                                       
##                                                   Used       Total
##   Number of observations                            56         361
##                                                                   
## Model Test User Model:
##                                                       
##   Test statistic                                    NA
##   Degrees of freedom                                NA
## 
## Parameter Estimates:
## 
##   Standard errors                             Standard
##   Information                                 Expected
##   Information saturated (h1) model          Structured
## 
## Latent Variables:
##                    Estimate   Std.Err  z-value  P(>|z|)   Std.lv  Std.all
##   F1 =~                                                                  
##     grpsInvlvd.cv.     1.000                               0.321    0.471
##     grpsInvlvd.ct.     1.868       NA                      0.600    0.727
##     grpsInvlvd.wl.     1.490       NA                      0.478    0.582
##     trgtGrpsGls.s.     1.005       NA                      0.323    0.646
##     trgtGrpsGls.s.     0.836       NA                      0.268    0.549
##     trgtGrpsGls.m.     0.918       NA                      0.295    0.631
##   F2 =~                                                                  
##     adptByPlcy.rt.     1.000                              11.672    0.472
##     Impctsttmnts..     2.155       NA                     25.155    0.869
##     Impctsttmnts..     2.159       NA                     25.201    0.854
##     Impctsttmnts..     1.942       NA                     22.668    0.735
##     Impctsttmnts..     1.984       NA                     23.159    0.697
##     Impctsttmnts..     1.013       NA                     11.829    0.557
##     Impctsttmnts..     0.390       NA                      4.547    0.263
##   F3 =~                                                                  
##     concepts.pub.      1.000                               0.001    0.003
##     concepts.data.   307.260       NA                      0.254    0.514
##     concepts.code.   421.179       NA                      0.349    0.746
##     concepts.infr.   352.026       NA                      0.291    0.634
##     dssChnnls.trd.   137.625       NA                      0.114    0.228
##     dissChnnls.wb.   114.408       NA                      0.095    0.258
##     dssChnnls.plt.   320.367       NA                      0.265    0.577
##   F4 =~                                                                  
##     trgtGrpsGls.d.     1.000                               0.460    1.000
##   F5 =~                                                                  
##     sclbltyRtng.p.     1.000                              20.785    0.651
##     sclbltyRtng.t.     1.524       NA                     31.669    0.866
##     sclbltyRtng.d.     1.134       NA                     23.571    0.606
##   F6 =~                                                                  
##     grpsInvlvd.pl.     1.000                               0.481    0.623
##     impctTrgtGrp..     6.865       NA                      3.305    0.985
##     dssChnnls.plc.     0.409       NA                      0.197    0.455
##   F7 =~                                                                  
##     trnsdscplnrE..     1.000                               0.001    0.000
##     grpsInvlvd.bs.  -782.065       NA                     -0.447   -0.594
##     impctTrgtGrp.. -2637.459       NA                     -1.507   -0.548
##     impctTrgtGrp.. -4739.693       NA                     -2.708   -0.791
##   F8 =~                                                                  
##     dssChnnls.cnf.     1.000                               0.225    1.000
##   F9 =~                                                                  
##     contribTSI.rt.     1.000                               2.348    1.000
##   F10 =~                                                                 
##     motivatin.phn.     1.000                               0.036    0.019
##     motivatin.prb.   200.929       NA                      7.259    3.474
## 
## Covariances:
##                    Estimate   Std.Err  z-value  P(>|z|)   Std.lv  Std.all
##   F1 ~~                                                                  
##     F2                -1.055       NA                     -0.281   -0.281
##     F3                -0.000       NA                     -0.131   -0.131
##     F4                 0.090       NA                      0.613    0.613
##     F5                -1.992       NA                     -0.299   -0.299
##     F6                 0.059       NA                      0.380    0.380
##     F7                -0.000       NA                     -0.174   -0.174
##     F8                 0.011       NA                      0.154    0.154
##     F9                 0.342       NA                      0.454    0.454
##     F10                0.001       NA                      0.054    0.054
##   F2 ~~                                                                  
##     F3                 0.003       NA                      0.267    0.267
##     F4                -0.766       NA                     -0.143   -0.143
##     F5                96.911       NA                      0.399    0.399
##     F6                -0.099       NA                     -0.018   -0.018
##     F7                 0.000       NA                      0.031    0.031
##     F8                -0.549       NA                     -0.209   -0.209
##     F9                 7.612       NA                      0.278    0.278
##     F10               -0.010       NA                     -0.024   -0.024
##   F3 ~~                                                                  
##     F4                 0.000       NA                      0.149    0.149
##     F5                -0.001       NA                     -0.070   -0.070
##     F6                -0.000       NA                     -0.087   -0.087
##     F7                -0.000       NA                     -0.488   -0.488
##     F8                -0.000       NA                     -0.084   -0.084
##     F9                -0.000       NA                     -0.141   -0.141
##     F10               -0.000       NA                     -0.063   -0.063
##   F4 ~~                                                                  
##     F5                -2.540       NA                     -0.266   -0.266
##     F6                 0.068       NA                      0.309    0.309
##     F7                -0.000       NA                     -0.034   -0.034
##     F8                 0.002       NA                      0.015    0.015
##     F9                 0.126       NA                      0.117    0.117
##     F10               -0.001       NA                     -0.053   -0.053
##   F5 ~~                                                                  
##     F6                -1.508       NA                     -0.151   -0.151
##     F7                -0.001       NA                     -0.063   -0.063
##     F8                -0.546       NA                     -0.117   -0.117
##     F9                -0.702       NA                     -0.014   -0.014
##     F10                0.045       NA                      0.059    0.059
##   F6 ~~                                                                  
##     F7                -0.000       NA                     -0.251   -0.251
##     F8                -0.032       NA                     -0.298   -0.298
##     F9                 0.457       NA                      0.404    0.404
##     F10                0.000       NA                      0.002    0.002
##   F7 ~~                                                                  
##     F8                 0.000       NA                      0.119    0.119
##     F9                 0.000       NA                      0.058    0.058
##     F10               -0.000       NA                     -0.033   -0.033
##   F8 ~~                                                                  
##     F9                -0.034       NA                     -0.065   -0.065
##     F10               -0.000       NA                     -0.033   -0.033
##   F9 ~~                                                                  
##     F10                0.009       NA                      0.101    0.101
## 
## Variances:
##                    Estimate   Std.Err  z-value  P(>|z|)   Std.lv  Std.all
##    .grpsInvlvd.cv.     0.361       NA                      0.361    0.778
##    .grpsInvlvd.ct.     0.321       NA                      0.321    0.472
##    .grpsInvlvd.wl.     0.447       NA                      0.447    0.662
##    .trgtGrpsGls.s.     0.146       NA                      0.146    0.583
##    .trgtGrpsGls.s.     0.167       NA                      0.167    0.698
##    .trgtGrpsGls.m.     0.131       NA                      0.131    0.602
##    .adptByPlcy.rt.   475.833       NA                    475.833    0.777
##    .Impctsttmnts..   205.943       NA                    205.943    0.246
##    .Impctsttmnts..   234.975       NA                    234.975    0.270
##    .Impctsttmnts..   436.456       NA                    436.456    0.459
##    .Impctsttmnts..   568.600       NA                    568.600    0.515
##    .Impctsttmnts..   311.040       NA                    311.040    0.690
##    .Impctsttmnts..   277.578       NA                    277.578    0.931
##    .concepts.pub.      0.081       NA                      0.081    1.000
##    .concepts.data.     0.180       NA                      0.180    0.736
##    .concepts.code.     0.097       NA                      0.097    0.443
##    .concepts.infr.     0.127       NA                      0.127    0.598
##    .dssChnnls.trd.     0.237       NA                      0.237    0.948
##    .dissChnnls.wb.     0.126       NA                      0.126    0.934
##    .dssChnnls.plt.     0.141       NA                      0.141    0.667
##    .trgtGrpsGls.d.     0.000                               0.000    0.000
##    .sclbltyRtng.p.   587.381       NA                    587.381    0.576
##    .sclbltyRtng.t.   335.072       NA                    335.072    0.250
##    .sclbltyRtng.d.   957.568       NA                    957.568    0.633
##    .grpsInvlvd.pl.     0.365       NA                      0.365    0.612
##    .impctTrgtGrp..     0.330       NA                      0.330    0.029
##    .dssChnnls.plc.     0.149       NA                      0.149    0.793
##    .trnsdscplnrE..     3.732       NA                      3.732    1.000
##    .grpsInvlvd.bs.     0.367       NA                      0.367    0.648
##    .impctTrgtGrp..     5.288       NA                      5.288    0.700
##    .impctTrgtGrp..     4.377       NA                      4.377    0.374
##    .dssChnnls.cnf.     0.000                               0.000    0.000
##    .contribTSI.rt.     0.000                               0.000    0.000
##    .motivatin.phn.     3.666       NA                      3.666    1.000
##    .motivatin.prb.   -48.331       NA                    -48.331  -11.067
##     F1                 0.103       NA                      1.000    1.000
##     F2               136.234       NA                      1.000    1.000
##     F3                 0.000       NA                      1.000    1.000
##     F4                 0.211       NA                      1.000    1.000
##     F5               432.011       NA                      1.000    1.000
##     F6                 0.232       NA                      1.000    1.000
##     F7                 0.000       NA                      1.000    1.000
##     F8                 0.051       NA                      1.000    1.000
##     F9                 5.515       NA                      1.000    1.000
##     F10                0.001       NA                      1.000    1.000
```